Triple

T10293977
Position Surface form Disambiguated ID Type / Status
Subject Ford Falcon platform E241434 entity
Predicate bodyStyleCompatibility P74532 FINISHED
Object sedan LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: sedan | Statement: [Ford Falcon platform, bodyStyleCompatibility, sedan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bodyStyleCompatibility
Context triple: [Ford Falcon platform, bodyStyleCompatibility, sedan]
  • A. layoutCompatibility
    Indicates that two layouts can coexist or be used interchangeably without causing conflicts or usability issues.
  • B. bodyStyleProduced
    Indicates that a particular body style was manufactured or produced by a given entity (such as a company, plant, or production line).
  • C. bodyStyleCategory chosen
    Indicates the general body style classification or category that an item (such as a vehicle or product) belongs to.
  • D. compatibilityModel
    Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to another entity.
  • E. bodyStyleHistory
    Indicates the historical record of changes or versions in an entity’s body style over time.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d46fb08190b7694290692e47dc completed April 7, 2026, 9:48 a.m.
PD Predicate disambiguation batch_69d4d1f35e548190be3b4d92d65d2d20 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:42 a.m.